Md.Tonim Hassan
Papers
1
Total Citations
2
H-Index
1
About
Md. Tonim Hassan is an emerging researcher in autonomous robotics, with a primary focus on path planning, maze solving, and the integration of Robot Operating System 2 (ROS-2) with computer vision. His most cited work, "A ROS-2 based Path Planning and Maze Solving of Autonomous Robots" (2024), demonstrates a practical approach to building self-driving robots capable of navigating complex environments. In this study, Hassan developed a complete robotic system using Fusion 360 for modeling and ROS-2 launch files to initialize sensor and control nodes, achieving optimal path planning through sophisticated algorithmic integration. This work showcases his ability to bridge theoretical robotics concepts with real-world implementation, making significant contributions to the field of autonomous navigation. With 2 citations already for this recent publication, his research is gaining early recognition for its practical applications in robotics education and development. Hassan's work is particularly valuable for students and researchers interested in hands-on robotics, as it provides a clear framework for implementing ROS-2 in autonomous systems, from hardware design to software deployment.
Research Focus
Key Achievements
Top Papers
- 1A ROS-2 based Path Planning and Maze Solving of Autonomous Robots2 citations · 2024